Air Quality & Data Engineering Platform

A comprehensive data engineering platform featuring real-time air quality monitoring, stock market analytics, and YouTube data processing with Apache Airflow, Spark, Kafka, and multiple database technologies. 🏗️ Architecture Overview Data Sources → Airflow ETL → Processing → Storage → Analytics ↓ ↓ ↓ ↓ ↓ Air Quality Spark Kafka PostgreSQL Grafana Stock Market PySpark Cassandra MongoDB YouTube API Real-time 📁 Project Structure ├── dags/ │ ├── air_quality_pipeline.py # Hourly air quality ETL │ └──